This course introduces the easy-to-use machine learning superfunctions available in the Wolfram Language. You will learn how to perform supervised and unsupervised learning tasks with just a few lines of code. We will start with regression, classification, clustering and anomaly detection, and from there, we'll move on to the state-of-the-art Neural Network Framework. Examples using the Wolfram Neural Net Repository are shown with instructions for building your own neural networks from scratch. Basic familiarity with the Wolfram Language or introductory-level skill in any programming language is recommended.
Featured Products & Technologies: Wolfram Language, Mathematica
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- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- The Neural Network Framework